Drones can be used to track criminals of bank robbery, kidnapping, ransom, hit & run and terrorist attacks. In our Project, drone will take input from stationary camera. Input will be include images of target/ object and location of scene. While en route to location drone will calculate velocity
Target Following Drone
Drones can be used to track criminals of bank robbery, kidnapping, ransom, hit & run and terrorist attacks. In our Project, drone will take input from stationary camera. Input will be include images of target/ object and location of scene. While en route to location drone will calculate velocity and direction of target using information from images and GPS coordinates.
Let’s take a hypothetical situation in which our drone will show its performance. If there is a terrorist attack on any educational institutions, our drone will respond instantly. Firstly, it will reach the target location within seconds whereas security officers will take time to reach. It will start monitoring the whole situation. It will detect and follow suspicious person/object.
Drone will work autonomously and silently. Targets can be seized within seconds without any delay. It can reach inaccessible places. It has small size and high speed so it can reach target’s place swiftly and can chase it.
Our project will include, a drone with camera and a server. Drone will collect data (images, location) about the suspect and send it to the server. Server will perform processing on data and will instruct drone what to do.
As drone will take input from stationary camera, so view of stationary camera’s image and aerial view of drone’s image will be different. We need to calibrate both images so drone can easily find targeted person in crowd.

Our project can easily deploy in University. It will take input from front gate’s CCTV camera. In case of any unpleasant event, it will immediately response to front gate and will start monitoring the targets.
Law enforcement agencies can easily use this system. It will help patrolling the border areas.
In first stage, we will assemble the parts of drone then we will program it. In the second stage, the detection of objects in live video streaming will be made possible. It will first detect the suspicious object in an image/frame and then will find centroid of the detected object. After this it will start tracking the detected object using centroid information and finally locking of moving object will be achieved. In third stage, drone will follow the targeted object by keeping in contact with server. Drone will take orders/commands from server and share the results with server.
Project will help detecting & following suspicious persons (terrorists or criminals) which are at large. By the help of this drone, we can follow a person/ object without begin noticed and autonomously. Drone will response to remote areas as soon as possible whereas a vehicle will take more time.
Autonomous Drone with camera that can identify and follow the target. Target can be any object/human.
Final Project Deliverable will contain Documentation and Hardware System.
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Quad Copter | Equipment | 1 | 49500 | 49500 |
| GoPro Camera | Equipment | 1 | 14000 | 14000 |
| Raspberry Pi 3 Model B+ | Equipment | 1 | 5800 | 5800 |
| Wires | Miscellaneous | 10 | 100 | 1000 |
| Stationary | Miscellaneous | 1 | 2000 | 2000 |
| batteries | Miscellaneous | 2 | 3000 | 6000 |
| Total in (Rs) | 78300 |
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